Bangi Gateway

Seksyen 15, 43650 Bandar Baru Bangi, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 1,400,000
PSF
RM 372
Price Size
Period
transactions middle 50% (P25–P75)
1,600 sqft
Shop
RM 1,292,000
Level G
1,582 sqft · RM 817 PSF
2,650 sqft
Shop
RM 980,000
Level 1
2,637 sqft · RM 372 PSF
3,650 sqft
3-Sty Shop
RM 1,700,000
Jalan Bg 3B/1
3,670 sqft · RM 463 PSF
RM 1,400,000
Bangi Gateway
4,263 sqft · RM 328 PSF
RM 1,400,000
Level G
4,263 sqft · RM 328 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM 1,400,000

RM 372 psf

Median transaction price

High

Rental Yield Data

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Bangi Gateway
© OpenStreetMap · CARTO

Bangi Gateway, Seksyen 15, 43650 Bandar Baru Bangi, Selangor, Malaysia

Maps

Bangi Gateway in Hulu Langat, Selangor recorded 5 subsale transactions in 2022, with a median price of RM 1.40 million and a median price per square foot (PSF) of RM 372.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.40 million, with most transactions falling within a stable range of RM 1.17 million to RM 1.63 million, and a typical market range of RM 980K to RM 1.70 million.

Most transactions involved 3 - 3 1/2 storey shop, with high diversity across multiple property types.

Price per square foot shows a median of RM 372, though individual units vary from RM 187 to RM 556 in the core range. The broader market spans RM 119.11 to RM 624.11, indicating diverse property characteristics. A wider spread (IQR: RM 505.00) and deviation (MAD: RM 184) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.